2019
DOI: 10.1016/j.enbuild.2018.11.046
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A comprehensive evaluation of a monthly-based energy auditing tool through dynamic simulations, and monitoring in a renovation case study

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Cited by 25 publications
(3 citation statements)
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“…The measurement [14] of data as a primary data collection is to understand the operation and event occurrence, calculate, explain, and validate the industry's energy consumption. The energy auditing tool [15] of Passive Home Planning Package (PHPP) and Transient System Simulation (TRNSYS) are used for energy estimation, and equivalent energy savings with greater accuracy and machine learning [16] algorithms are used for energy self-sufficiency. The effectiveness of energy audit diminishes with the number of employees increasing in the organizational size [17] in lighting, heating, insulation, and operations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The measurement [14] of data as a primary data collection is to understand the operation and event occurrence, calculate, explain, and validate the industry's energy consumption. The energy auditing tool [15] of Passive Home Planning Package (PHPP) and Transient System Simulation (TRNSYS) are used for energy estimation, and equivalent energy savings with greater accuracy and machine learning [16] algorithms are used for energy self-sufficiency. The effectiveness of energy audit diminishes with the number of employees increasing in the organizational size [17] in lighting, heating, insulation, and operations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The tool utilized preferences given by the user and then ranked different solution packages according to the importance given for different categories (environmental, economic, social). Another such tool was the monthly-based energy auditing tool presented by [7]. While not requiring much expert knowledge, it was able to estimate heating and cooling demands in several climates within 8% to 15% of a more detailed dynamic simulation tool, TRNSYS [8].…”
mentioning
confidence: 99%
“…The calibrated ISO 13790:2008 delivers results significantly identical to the dynamic model while the non-calibrated fails. Dermentzis, et al, (2019) evaluated an energy auditing tool (PHPP) against TRNSYS for a set of buildings and climates. The results show that the average deviation between the tools is 8% for the heating demand and 15% for the cooling demand.…”
Section: Introductionmentioning
confidence: 99%